Defending Jailbreak Attacks on Large Language Models via Manifold Trajectory Kinetics

Defending Jailbreak Attacks on Large Language Models via Manifold Trajectory Kinetics arXiv:2606.07335v1 Announce Type: new Abstract: Jailbreak prompts can bypass alignment guardrails in large language models (LLMs) and elicit unsafe outputs, making reliable deployment-time detection critical. Prior detection approaches largely rely on a fixed metric space, e.g., raw inputs, gradients, or hidden features, in which benign and jailbreak prompts are linearly separable. We show …

https://arxiv.org/abs/2606.07335

sha256:ac4d15599b9a7189850e7b65ddae9b4c1201662329bb979ef1b873756236a0d5

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